Design of an AI-Driven Feedback and Decision Analysis in Online Learning with Google BERT International Journal of Intelligent Systems and Applications in Engineering, 2024
Computer-Assisted Analysis of Histopathological Images: A Comprehensive Review Pranshu Saxena, Sanjay Kumar Singh, Gaurav Srivastav, Rashid Mamoon Computer Assisted Analysis for Digital Medicinal Imagery, 2024 Histopathological image analysis is a specialised area of medical imaging that involves the careful examination and interpretation of tissue samples to diagnose and investigate diseases. We begin by reviewing the traditional methods of histopathological image analysis and their limitations, setting the stage for the necessity of computational approaches. The study then delves into the core components of computer-assisted analysis, including preprocessing techniques, feature extraction, and classification algorithms. Preprocessing steps such as staining normalization, noise reduction, and image segmentation are critical for preparing raw images for further analysis. Feature extraction methods, ranging from handcrafted features to DL based features, are discussed in detail, emphasizing their role in capturing relevant tissue characteristics. The classification stage employs various machine learning models, including SVM, RF, and NN, with a focus on CNN due to their superior performance in image recognition tasks.
Predicting Agricultural Crop Damage Caused by Unexpected Rainfall Using Deep Learning Bhushan Fulkar, Pawan Patil, Gaurav Srivastav, Promod Mahale 2024 International Conference on Intelligent Systems for Cybersecurity Iscs 2024, 2024 Efficient allocation of resources and timely agricultural interventions depend on the precise identification of crop loss at the field parcel level. Using recent data from 2018 to 2023, this study investigates the integration of deep learning techniques with real-time field photography to classify agricultural field parcels into those experiencing crop loss and those not. We build and assess deep learning models specifically for crop loss classification using a dataset from the Finnish Food Authority (FFA) that combines on-the-ground photos taken during field visits with comprehensive field parcel information. In this work, we use convolutional neural networks (CNNs) to examine the visual characteristics that we have extracted from field photos in order to identify the subtleties that may indicate crop health or possible loss. Our goal is to improve the model's generalization capabilities over a variety of crop types and agricultural landscapes by training it on a combination of field parcel data and corresponding photographs.
An Efficient Sentiment Analysis Technique for Virtual Learning Environments using Deep Learning model and Fine-Tuned EdBERT International Journal of Intelligent Systems and Applications in Engineering, 2023
Impact of Artificial Intelligence on Virtual Learning Ecosystem Gaurav Srivastav, Shri Kant, Durgesh Srivastava, Satvik Vats 2023 World Conference on Communication and Computing Wconf 2023, 2023 Nowadays, one of the most intriguing fields of research in information technology is artificial intelligence (AI) and machine learning (ML). For educational researchers and scientists, it offers an excellent prospect. Since education practitioners have little awareness about utilizing AI in the educational system (AIEd), it is, therefore, a promising field of research for improving the quality of educational practices. This study aims to investigate AI-ML to create an AI-enabled educational eco-system. Researchers have expressed interest in using educational data mining and the data science approach to find patterns in extensive educational data collections. This study demonstrates how intelligent applications based on AI can be used to improve teaching and learning.
Study on Zero-Trust Architecture, Application Areas & Challenges of 6G Technology in Future Richa Singh, Gaurav Srivastav, Rekha Kashyap, Satvik Vats 2023 International Conference on Disruptive Technologies Icdt 2023, 2023 Intelligent network orchestration and management are crucial components of the 6G network. Therefore, machine learning and artificial intelligence play a big part in the 6G paradigm that is being imagined. However, the combination of 6G and AIML utilization may frequently be a double-edged sword because AI has the capacity to either protect or compromise security and privacy. Proactive threat detection, the use of mitigating intelligent techniques, and network automation in future are needed to enable the achievement of independent networks in 6G. As a result, this paper has detailed focus on the ongoing projects based on 6G and factors that make 6G technology necessary. The role of ZT architecture is discussed in detail, use of AIML in 6G, Various application areas and challenges associated in 6G has been mentioned in this paper.
Facial Recognition Based Workplace Security System Using LBPH Algorithm Gaurav Srivastav, Richa Singh Aip Conference Proceedings, 2022 Workplace security is a major issue in today’s working environment. To address the security concerns computer vision and its applications provide facial recognition-based security solutions. Every day, humans execute facial recognition effortlessly and almost without any effort. The goal of this paper is to create a reliable facial recognition system. This article presents a real-time face recognition-based security system for home and offices. It has been developed using the Local Binary Pattern Histogram (LBPH) algorithm. LBPH based Facial Recognition model has been developed and tested for security at workplaces. Variations in features, poses and angles of human faces as well as illumination have been selected as key parameters during testing of recognition algorithms. This model successfully passed over the two conditions and achieved more than 85% of accuracy. This kind of system can be used for video surveillance for streets, crowded areas and airports. Due to its resilience in varied lighting situations, the result suggests that LBPH FR is the best as compared to Eigenface, Fisherface.
Bank Churn Prediction Using Machine Learning AK Singh, G Kori, P Garg, G Srivastava 2025 IEEE 7th International Conference on Computing, Communication and … , 2025 2025
An efficient sentiment analysis technique based on fine-tuned EdBERT for virtual learning environments G Srivastav, S Kant, D Srivastava, N Sharma, YC Hu Multimedia Tools and Applications 84 (18), 20161-20175 , 2025 2025 Citations: 8
Computer-Assisted Analysis of Histopathological Images: A Comprehensive Review P Saxena, SK Singh, G Srivastav, R Mamoon Computer-Assisted Analysis for Digital Medicinal Imagery, 77-120 , 2025 2025
Development of bio-medicinal plants and herbs classifier with random forest algorithm and QR code generator M Sharma, G Srivastav, C Puri, S Khedkar AIP Conference Proceedings 3188 (1), 100012 , 2024 2024 Citations: 1
The application of 5G enabled edge computing for health care: A survey paper S Saratkar, T Thute, R Raut, O Bhaik, G Srivastav, SB Rewatkar AIP Conference Proceedings 3188 (1), 100011 , 2024 2024
Comparative evaluation and correlation of variations in articular disc morphology as assessed by automated segmentation using deep learning on magnetic resonance imaging (MRI … A Surendran, S Shrivastav, G Srivastav F1000Research 12, 855 , 2024 2024
Design of an AI-driven feedback and decision analysis in online learning with Google BERT G Srivastav, S Kant, D Srivastava International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024 Citations: 28
Predicting the Veracity of News Articles Using Multimodal Embeddings and NLP-Based Features R Singh, R Kashyap, V Sharma, G Srivastava 2023 1st DMIHER International Conference on Artificial Intelligence in … , 2023 2023 Citations: 4
Impact of Artificial Intelligence on Virtual Learning Ecosystem G Srivastav, S Kant, D Srivastava, S Vats 2023 World Conference on Communication & Computing (WCONF), 1-5 , 2023 2023 Citations: 5
Study on zero-trust architecture, application areas & challenges of 6g technology in future R Singh, G Srivastav, R Kashyap, S Vats 2023 International Conference on Disruptive Technologies (ICDT), 375-380 , 2023 2023 Citations: 17
An efficient sentiment analysis technique for virtual learning environments using deep learning model and fine-tuned EdBERT G Srivastav, S Kant, D Srivastava Int J Intell Syst Appl Eng 11 (5s), 468-476 , 2023 2023 Citations: 40
Breast cancer detection in mammogram images using machine learning methods and clahe algorithm G Srivastav, M Rashid, R Singh, A Gehlot, N Sharma 2022 5th International Conference on Contemporary Computing and Informatics … , 2022 2022 Citations: 13
Facial recognition based workplace security system using LBPH algorithm G Srivastav, R Singh AIP Conference Proceedings 2555 (1), 040008 , 2022 2022 Citations: 4
Fine-Tuned BERT Enabled Context Aware Virtual Learning Assessment Model G Srivastav, S Kant Design Engineering, 1422-1438 , 2021 2021 Citations: 2
Classification of HCI and Issues and Challenges in Smart Home HCI Implementation P Vishwakarma, VK Soni, G Srivastav, A Jain Cognitive Behavior and Human Computer Interaction Based on Machine Learning … , 2021 2021
Novel Framework for Anomaly Detection Using Machine Learning Technique on CIC-IDS2017 Dataset R Singh, G Srivastav 2021 International Conference on Technological Advancements and Innovations … , 2021 2021 Citations: 48
Effective Utilization and Rising Challenges for Cloud Computing Environment during the COVID-19 Pandemic. G Srivastav, S Kant Journal of Scientific and Technical Research 11 (1), 43-47 , 2021 2021
Study and review of learning management system software M Sharma, G Srivastav Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE … , 2020 2020 Citations: 17
Automatic Number Plate Recognition G Srivastava, A Sharma, A Mittal, A Shishodia, A Gaur 2020 Citations: 9
Movie Recommendation System Using Cosine Similarity and KNN S Srivastav, Gaurav, Narula ,Tushar, Tripathi Tanisha, Singh, Harbir Ramni ... International Journal of Engineering and Advanced Technology (IJEAT) 9 (5 … , 2020 2020 Citations: 210
MOST CITED SCHOLAR PUBLICATIONS
Movie Recommendation System Using Cosine Similarity and KNN S Srivastav, Gaurav, Narula ,Tushar, Tripathi Tanisha, Singh, Harbir Ramni ... International Journal of Engineering and Advanced Technology (IJEAT) 9 (5 … , 2020 2020 Citations: 210
Novel Framework for Anomaly Detection Using Machine Learning Technique on CIC-IDS2017 Dataset R Singh, G Srivastav 2021 International Conference on Technological Advancements and Innovations … , 2021 2021 Citations: 48
An efficient sentiment analysis technique for virtual learning environments using deep learning model and fine-tuned EdBERT G Srivastav, S Kant, D Srivastava Int J Intell Syst Appl Eng 11 (5s), 468-476 , 2023 2023 Citations: 40
Design of an AI-driven feedback and decision analysis in online learning with Google BERT G Srivastav, S Kant, D Srivastava International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024 Citations: 28
Study on zero-trust architecture, application areas & challenges of 6g technology in future R Singh, G Srivastav, R Kashyap, S Vats 2023 International Conference on Disruptive Technologies (ICDT), 375-380 , 2023 2023 Citations: 17
Study and review of learning management system software M Sharma, G Srivastav Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE … , 2020 2020 Citations: 17
Review on e-Learning Environment Development and context aware recommendation systems using Deep Learning G Srivastav, S Kant 2019 3rd international conference on recent developments in control … , 2019 2019 Citations: 16
Breast cancer detection in mammogram images using machine learning methods and clahe algorithm G Srivastav, M Rashid, R Singh, A Gehlot, N Sharma 2022 5th International Conference on Contemporary Computing and Informatics … , 2022 2022 Citations: 13
Automatic Number Plate Recognition G Srivastava, A Sharma, A Mittal, A Shishodia, A Gaur 2020 Citations: 9
An efficient sentiment analysis technique based on fine-tuned EdBERT for virtual learning environments G Srivastav, S Kant, D Srivastava, N Sharma, YC Hu Multimedia Tools and Applications 84 (18), 20161-20175 , 2025 2025 Citations: 8
Impact of Artificial Intelligence on Virtual Learning Ecosystem G Srivastav, S Kant, D Srivastava, S Vats 2023 World Conference on Communication & Computing (WCONF), 1-5 , 2023 2023 Citations: 5
Predicting the Veracity of News Articles Using Multimodal Embeddings and NLP-Based Features R Singh, R Kashyap, V Sharma, G Srivastava 2023 1st DMIHER International Conference on Artificial Intelligence in … , 2023 2023 Citations: 4
Facial recognition based workplace security system using LBPH algorithm G Srivastav, R Singh AIP Conference Proceedings 2555 (1), 040008 , 2022 2022 Citations: 4
Effective Sensory Communication using GEAR Protocol G Srivastav International Journal of Science and Research (IJSR) , 2013 2013 Citations: 4
Fine-Tuned BERT Enabled Context Aware Virtual Learning Assessment Model G Srivastav, S Kant Design Engineering, 1422-1438 , 2021 2021 Citations: 2
Development of bio-medicinal plants and herbs classifier with random forest algorithm and QR code generator M Sharma, G Srivastav, C Puri, S Khedkar AIP Conference Proceedings 3188 (1), 100012 , 2024 2024 Citations: 1
Bank Churn Prediction Using Machine Learning AK Singh, G Kori, P Garg, G Srivastava 2025 IEEE 7th International Conference on Computing, Communication and … , 2025 2025
Computer-Assisted Analysis of Histopathological Images: A Comprehensive Review P Saxena, SK Singh, G Srivastav, R Mamoon Computer-Assisted Analysis for Digital Medicinal Imagery, 77-120 , 2025 2025
The application of 5G enabled edge computing for health care: A survey paper S Saratkar, T Thute, R Raut, O Bhaik, G Srivastav, SB Rewatkar AIP Conference Proceedings 3188 (1), 100011 , 2024 2024
Comparative evaluation and correlation of variations in articular disc morphology as assessed by automated segmentation using deep learning on magnetic resonance imaging (MRI … A Surendran, S Shrivastav, G Srivastav F1000Research 12, 855 , 2024 2024
